An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture
|更新时间:2025-11-23
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An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture
Vol. 62, Issue 5, (2025)
作者机构:
三峡大学 电气与新能源学院
作者简介:
基金信息:
DOI:
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Published:2025
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Zhang Binqiao, Ran Yuanhang, Zhang Lei. An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture[J]. 2025, 62(5).
DOI:
Zhang Binqiao, Ran Yuanhang, Zhang Lei. An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture[J]. 2025, 62(5).DOI:
An optimal scheduling strategy for integrated energy system considering combined heat and power with power-to-gas and carbon capture
In order to achieve the strategic targets of carbon peak and carbon neutrality in China
it is urgent to explore the low-carbon and efficient utilization of renewable energy. The cogeneration unit challenges the consumption of renewable energy with the working mode of combined heat and power. Therefore
the collaborative operation framework of power-to-gas
carbon capture system
distributed generation and combined heat and power unit is proposed and its coupling characteristics are analyzed. An optimal scheduling model of integrated energy system based on this framework is constructed
and a user demand response model is established. Then
taking the integrated energy system side as the upper optimization model subject
and the user side as the lower optimization model subject
a bi-level optimization model based on master-slave game is proposed
as well as its solution method. The example shows that the model and strategy proposed in this paper can not only effectively improve the consumption of renewable energy
reduce the carbon emissions of cogeneration units
but also reduce the operation cost of the system and the energy purchase cost of users
and improve the energy use efficiency of users and the economic benefit of the system.